Fernando D. Camargo
Impact in
- Cell Biology top 0.05%
- Hippo pathway signaling and YAP/TAZ
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Cell Biology 38
- Hippo pathway signaling and YAP/TAZ 35
- Hematology 22
- Hematopoietic Stem Cell Transplantation 17
- Acute Myeloid Leukemia Research 5
- Co-authors
- Chanseok ShinDaehyun BaekSteven P. GygiJudit VillénDavid P. BartelJonathan B. JohnnidisMargaret A. GoodellThijn R. Brummelkamp
- Journals
- Nature (8 papers)Blood (8 papers)Cell (6 papers)Cell stem cell (5 papers)Nature Communications (3 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Fernando D. Camargo
77 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cell Biology 5.2k
- Cancer Research 4.2k
- Molecular Biology 10.2k
- Hematology 1.4k
- Genetics 1.1k
Countries citing papers authored by Fernando D. Camargo
This map shows the geographic impact of Fernando D. Camargo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fernando D. Camargo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando D. Camargo more than expected).
Fields of papers citing papers by Fernando D. Camargo
This network shows the impact of papers produced by Fernando D. Camargo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fernando D. Camargo. The network helps show where Fernando D. Camargo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando D. Camargo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 78 | |
| 2 | 2022 | 32 | |
| 3 | 2021 | 15 | |
| 4 | 2021 | 44 | |
| 5 | Lineage tracing on transcriptional landscapes links state to fate during differentiation Hit paper breakdown → | 2020 | 400 |
| 6 | 2020 | 172 | |
| 7 | 2018 | 103 | |
| 8 | 2015 | 141 | |
| 9 | 2014 | 168 | |
| 10 | Hippo Pathway Activity Influences Liver Cell Fate Hit paper breakdown → | 2014 | 635 |
| 11 | 2014 | 161 | |
| 12 | 2013 | 232 | |
| 13 | 2011 | 377 | |
| 14 | 2010 | 171 | |
| 15 | 2009 | 95 | |
| 16 | Regulation of progenitor cell proliferation and granulocyte function by microRNA-223 Hit paper breakdown → | 2008 | 978 |
| 17 | YAP1 Increases Organ Size and Expands Undifferentiated Progenitor Cells Hit paper breakdown → | 2007 | 985 |
| 18 | 2004 | 196 | |
| 19 | 2004 | 98 | |
| 20 | 2002 | 362 |
About Fernando D. Camargo
Fernando D. Camargo is a scholar working on Cell Biology, Hematology, Genetics, Molecular Biology and Biochemistry, having authored 79 papers that have together received 15.6k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (35 papers), Hematopoietic Stem Cell Transplantation (17 papers), Single-cell and spatial transcriptomics (13 papers), Mesenchymal stem cell research (10 papers), Wnt/β-catenin signaling in development and cancer (10 papers), Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (6 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Cell Biology (5.2k citations), Cancer Research (4.2k citations), Molecular Biology (10.2k citations), Hematology (1.4k citations) and Genetics (1.1k citations). Fernando D. Camargo has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Chanseok Shin, Daehyun Baek, Steven P. Gygi, Judit Villén, David P. Bartel, Jonathan B. Johnnidis, Margaret A. Goodell, Thijn R. Brummelkamp, Allon M. Klein and Rudolf Jaenisch. Their work appears in journals such as Nature, Blood, Cell, Cell stem cell and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.